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Surveillance and Predictive Policing Through AI

By Deloitte

Surveillance and predictive policing through AI is the most controversial trend in this report but one that has important implications for the future of cities and societies.

Technology is frequently used as a synonym of evolution, but the ethics of its use may need to be questioned. An underlying question is what society are we aiming to build. There are doubts and uncertainties about the impact of AI on communities and cities: the most fundamental concern is privacy, but there are frequent debates about AI from other perspectives, such as its impact on jobs, the economy and the future of work. Therefore, one cannot disconnect the discussions about surveillance and predictive policing from recent debates about the societal, ethical, and even geopolitical dimensions.

The pace the adoption of AI for security purposes has increased in recent years. AI has recently helped create and deliver innovative police services, connect police forces to citizens, build trust, and strengthen associations with communities. There is growing use of smart solutions such as biometrics, facial recognition, smart cameras, and video surveillance systems. A recent study found that smart technologies such as AI could help cities reduce crime by 30 to 40 per cent and reduce response times for emergency services by 20 to 35 per cent. The same study found that cities have started to invest in real-time crime mapping, crowd management and gunshot detection.

London: Deloitte, 2021. 158p.